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DBMS > Google BigQuery vs. InfinityDB vs. Microsoft SQL Server vs. SAP SQL Anywhere

System Properties Comparison Google BigQuery vs. InfinityDB vs. Microsoft SQL Server vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA Java embedded Key-Value Store which extends the Java Map interfaceMicrosofts flagship relational DBMSRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score0.07
Rank#359  Overall
#54  Key-value stores
Score829.80
Rank#3  Overall
#3  Relational DBMS
Score4.57
Rank#78  Overall
#43  Relational DBMS
Websitecloud.google.com/­bigqueryboilerbay.comwww.microsoft.com/­en-us/­sql-serverwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationcloud.google.com/­bigquery/­docsboilerbay.com/­infinitydb/­manuallearn.microsoft.com/­en-US/­sql/­sql-serverhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperGoogleBoiler Bay Inc.MicrosoftSAP infoformerly Sybase
Initial release2010200219891992
Current release4.0SQL Server 2022, November 202217, July 2015
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedAll OS with a Java VMLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyesyes
Secondary indexesnono infomanual creation possible, using inversions based on multi-value capabilityyesyes
SQL infoSupport of SQLyesnoyesyes
APIs and other access methodsRESTful HTTP/JSON APIAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
JavaC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes, in C/C++, Java, .Net or Perl
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenonetables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, but depending on the SQL-Server EditionSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)nofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Google BigQueryInfinityDBMicrosoft SQL ServerSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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